The prespecified task–demand mapping produces the strongest within-teacher alignment of all six possible one-to-one assignments, supporting task-specific rather than arbitrary demand alignment¶
Claim · All claims
Evidence · 1 study · associationalr2·q2·i1small
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i1 The correct three-pair mapping ranks first of six (OR = 1.167) versus the best alternative (OR = 1.118), and remains first in every two-task subset. → Holster 2026
Evidence¶
Holster 2026¶
Holster, J. (2026). Where Artificial Intelligence Enters Teacher Work. https://www.oecd.org/en/data/datasets/talis-2024-database.html doi:10.35542/osf.io/a39rp_v1
q2 · i1 · associational · r2
Mapping-specificity diagnostic comparing the intended one-to-one demand–AI pairing against all five alternative permutations; the next strongest mapping retained the special-education pair but exchanged planning and marking (OR = 1.118).
"The prespecified three-pair mapping produced the strongest overall within-teacher alignment of all six possible one-to-one assignments (OR = 1.167, 95% CI [1.130, 1.205])"
Discussion¶
Related Claims¶
- The within-teacher demand–AI-use association differs sharply across tasks, with only a modest positive planning gradient — related
- Special-education support/adaptation shows the strongest demand–AI-use alignment, with a 16.32-percentage-point increase in predicted use across a two-point relative-demand contrast — related
- Overall demand–AI-use alignment varies modestly across education systems, but task-specific association profiles show clear residual heterogeneity — related
- Assessment/marking shows an inverse demand–AI-use association in the primary system-average analysis, with predicted use falling 3.47 percentage points across a two-point relative-demand contrast
- Teachers experiencing higher average demand across lesson planning, assessment/marking, and special-education adaptation report higher odds of AI adoption — related
- Among AI-using teachers, tasks experienced as relatively more demanding are more likely to be AI-supported overall — a broader claim this one bears on
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
task-demand-mapping-specificity-ai-use |
title |
The prespecified task–demand mapping produces the strongest within-teacher alignment of all six possible one-to-one assignments, supporting task-specific rather than arbitrary demand alignment |
description |
The prespecified task–demand mapping produces the strongest within-teacher alignment of all six possible one-to-one assignments, supporting task-specific rather than arbitrary demand alignment |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-20 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — holster-2026 |
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